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Doug Lance — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
romano.io 63 match
2 shared topics
Doug Romano — AI-first .NET developer · romano.io en artificial-intelligence robotsllmsaihumans emailphone none
ferrisdb.org 63 match
2 shared topics
FerrisDB | FerrisDB en programming-languages robotsllmsaihumans emailphone none
agentlanguages.dev 62 match
2 shared topics
agentlanguages.dev — Programming languages designed for AI agents to write en programming-languages robotsllmsaihumans emailphone none
developerpal.dev 62 match
2 shared topics
Code Explainer, AI Code explainer, AI Code translator, code translator, python code explainer, java code explainer, Translation, The Ultimate Coding Companion - DeveloperPal en programming-languages robotsllmsaihumans emailphone none
ieee-uae.com 62 match
2 shared topics
dev>notes - Programming, AI, and Engineering en artificial-intelligence robotsllmsaihumans emailphone none
paddywelsh.com 62 match
2 shared topics
Paddy Welsh en artificial-intelligence robotsllmsaihumans emailphone none
claude-skills.org 62 match
2 shared topics
Claude Skills - Master AI Code Capabilities & MCP Integrations en artificial-intelligence robotsllmsaihumans emailphone none
kushvinth.com 62 match
2 shared topics
Kushvinth Madhavan IN~ en artificial-intelligence robotsllmsaihumans emailphone none
ozodbekme.dev 62 match
2 shared topics
Ozodbek Tursunpulatov | Python Software Developer en artificial-intelligence robotsllmsaihumans emailphone none
hermes-lang.com 62 match
2 shared topics
Hermes: Unifying AI, Programming Languages, and Mathematics en artificial-intelligence robotsllmsaihumans emailphone none
dotnetfullstackdeveloper.com 62 match
2 shared topics
Dot Net Full Stack Developer Knowledge-Notes-Tutorials en artificial-intelligence robotsllmsaihumans emailphone none
agenticcodingnights.com 62 match
2 shared topics
Agentic Coding Nights en artificial-intelligence robotsllmsaihumans emailphone none
robintegg.com 62 match
2 shared topics
Robin Tegg | Java Developer by trade, AI Explorer by choice, and a Spring Boot Wizard at heart. I specialize in building robust, scalable applications and systems while actively integrating the power of Generative AI into modern software workflows. Beyond the IDE, I'm a firm believer in sharing en artificial-intelligence robotsllmsaihumans emailphone partial · 8
dontcodethisathome.com 61 match
2 shared topics
Erik Perttu: Autonomous Engineering Pipelines en programming-languages robotsllmsaihumans emailphone partial · 12
pairimprover.com 61 match
2 shared topics
pAIrImprover - Keep Your Engineering Skills Sharp en artificial-intelligence robotsllmsaihumans emailphone none
ai-context-engineering.com 61 match
2 shared topics
Elite AI Assisted Coding | Eleanor Berger | Substack en artificial-intelligence robotsllmsaihumans emailphone none
icoderslab.com 61 match
2 shared topics
iCodersLab | Learn code to decode en programming-languagesWordPress robotsllmsaihumans emailphone none
pabilan.dev 61 match
2 shared topics
Pabilan en artificial-intelligence robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.